Systems | Development | Analytics | API | Testing

Decipher the Hype and Reality of ChatGPT for BI and Analytics

ChatGPT’s power is astounding and even more importantly, it is growing incredibly fast. Almost every BI and analytics vendor has initiatives in this area, and while several have implemented integrations, applications are still primarily experimental. The promise is huge, but of course, there are plenty of skeptics with valid reasons. This blog highlights areas where ChatGPT can help business intelligence initiatives, and discusses areas where there may be a bit more hype than reality, for now.

Projects in SQL Stream Builder

Businesses everywhere have engaged in modernization projects with the goal of making their data and application infrastructure more nimble and dynamic. By breaking down monolithic apps into microservices architectures, for example, or making modularized data products, organizations do their best to enable more rapid iterative cycles of design, build, test, and deployment of innovative solutions.

Insurers Slammed by Inflation and Soaring Claims Costs. Here's How Automation Can Help

Insurers have been slammed by inflation, with loss costs surging by $30 billion in 2021 alone. Almost every line of insurance has been hit with rising claims expenses, while replacement costs have risen by 16.3%—nearly twice the consumer price index rise. To combat inflation, insurers need to find better ways to increase efficiency and reduce claims leakage. In addition to economic pressures, insurers are also facing rising customer expectations for a faster and more transparent claims process.

Prepare your data with Cloudera Data Engineering

Cloudera Data Engineering is a cloud-native service that provides an all-inclusive toolset for orchestrating and automating complex data pipelines, with built-in visual monitoring. It is fully integrated with the Cloudera Data Platform and enables data to be used by any data engineering team enabling analytics or ML across the business-delivering curated, quality datasets securely and transparently across all use cases.